Statistical spectrum detection method in cognitive radio

Abstract

The invention discloses a statistical spectrum detection method in cognitive radio. The statistical spectrum detection method comprises the following steps: setting an overall operation model; according to the known empirical cumulative distribution function zi of the elements of the received signal Y, performing ascending sort to obtain a function Rho (i) of calculating a known empirical cumulative distribution function CDF, then calculating to obtain a vector Rho, and performing ascending sort on the elements of the vector Rho to obtain a vector to calculate a test statistic Ts; and giving afalse alarm rate Pfa, calculating a corresponding test threshold lambda s, and judging the sizes of the test statistics Ts and lambda s to determine whether a main user exists or not. According to the statistical spectrum detection method in the cognitive radio, spectrum sensing is realized by using the sequential quantiles of the received signal samples; the occupation condition of the channel can be sensed in a real-time and robust mode, the performance of the method is verified through Monte Carlo simulation, the detection performance of the spectrum detection algorithm under the AWGN channel is obviously superior to that of a traditional energy detection method, and especially under the conditions of a low signal-to-noise ratio and a small sample, the performance improvement performance is particularly obvious.

Description

technical field [0001] The invention belongs to the technical field of spectrum detection methods, and in particular relates to a statistical spectrum detection method in cognitive radio. Background technique [0002] In a cognitive radio system, an important function of the secondary user is to detect whether the primary user occupies the channel, so that the secondary user can access the channel without causing interference. Therefore, designing fast and accurate spectrum detection algorithms under low signal-to-noise ratio (SNR) is a challenging task. [0003] Many literatures have proposed many spectrum detection algorithms, among which the main methods of spectrum detection using the prior knowledge of the primary user are: cyclostationary spectrum detection method, matched filter detection method and spectrum detection based on eigenvalues. However, this type of method needs to estimate some parameters of the primary user's transmission signal. Once the required param...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a statistical spectrum detection method in cognitive radio, which solves the problem of inaccurate detection results of existing detection methods under low signal-to-noise ratio and small sample conditions

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